951 to 975 of 1,174 Machine Learning Jobs

that's scalable, flexible and built to last. Your work will directly support high-impact use cases, including advanced analytics, pricing models, AI/ML solutions and regulatory reporting - ensuring teams across the business can trust and use data with confidence. Data Architecture & Modelling Define and own the architectural principles … through to the Gold layer.Design and govern the Medallion Architecture (Bronze/Silver/Gold), ensuring every layer is built for analytics, AI/ML and self-service consumption.Own data modelling standards - conceptual, logical and physical - and ensure models are fit for both regulatory reporting and AI-driven insight.Define Unity ...

enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights. Key Responsibilities Architecture & Solution Design Architect end-to-end Databricks Lakehouse solutions including data ingestion, ETL/ELT pipelines, Delta Lake … Proven experience leading teams and delivering enterprise-grade data solutions. Preferred Qualifications Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Architect ). Experience building ML solutions using MLflow or integrating with cloud ML services. Experience in BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka ...

intersection of three businesses: (1) a private equity investment arm, (2) an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and (3) a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium … end. About You: You are a hybrid: part technologist, part strategist, part operator. You are equally comfortable whiteboarding a model architecture with an ML engineer, presenting an AI transformation roadmap to a private equity partner, and pressure-testing an LBO model. You move fast, you think in structures ...

e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Pragmatic approach to solving problems Nice to haves: Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies ( e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity … support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person’s viewpoint ...

Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare … life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company-wide wellbeing days) Access to LinkedIn Learning and ongoing development programs If you’re ready to shape the future of AI-driven customer experience and thrive in a collaborative, fast-paced environment ...

with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely … meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget ...

Designing and building AI agent systems for threat detection, behavioural correlation, sensitive data classification, and automated security response Developing and fine-tuning LLMs and ML models that run reliably in production Building and curating the high-quality datasets that train and evaluate those models Owning MLOps: versioning, monitoring, evaluation pipelines … strong quantitative foundation a degree in Mathematics, Computer Science, or similar, with a postgraduate qualification a plus. Beyond that: Demonstrable experience shipping AI or ML systems to a live production environment Solid Python across the core stack: Pandas, NumPy, Scikit-learn, and PyTorch or TensorFlow Real hands-on experience with ...

observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals Architect APIs, microservices, and integration patterns that embed … model risk management, and LBG internal policies Knowledge of banking processes: retail banking, lending, payments, compliance Strong experience designing end to end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring Hands on expertise with cloud AI platforms (GCP) Strong knowledge of LLMOps practices, including ...

observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts. Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals Architect APIs, microservices, and integration patterns that embed … model risk management, and LBG internal policies. Knowledge of banking processes: retail banking, lending, payments, compliance. Strong experience designing end-to-end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring. Hands-on expertise with cloud AI platforms (GCP). Strong knowledge of LLMOps practices ...

Master's degree in one of these fields with 2+ years of hands-on professional and/or research experience in AI/ML or related technical fields applied to audio/music. Extensive hands-on experience in designing innovative AI/ML model architectures, training models from scratch, modify … trained model architectures, retrain, and incorporate methodologies, layers and structures from research papers. Up-to-date knowledge of the latest AI/ML advancements, including current scientific literature, tools, models, and best practices. Proficiency in Python, with a deep familiarity and fluency in coding, including expertise with ML frameworks (e.g. ...

Role: Full Stack Commerce Engineer (Generative AI/ML) Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across … integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich data for PXM, CDP, and other systems. Manage Advanced Databases : Design ...

Salary: .000 € per year Requirements: Expertise in modern cloud/cloud-native architectures and a proven track record delivering production-grade AI/ML solutions (deep learning, generative AI) that solve real business problems. Hands-on experience designing scalable, production-ready AI systems and leading greenfield builds, migrations … context protocol (MCP) for secure, standardised connections between AI agents and enterprise systems/tools. Additional nice-to-haves: Advanced techniques: model distillation, federated learning, autonomous agents or multi agent systems. Experience with AI ethics, governance, bias detection and responsible AI practices for high compliance environments. Hands on skills ...

Drive productivity and cost optimizations. Your Profile: Essential skills/experience/knowledge: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise … CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Proficiency in Python with AI/ML frameworks (PyTorch ...

death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity Own the cloud platform that powers Onsera Health's breakthrough healthcare … secure product delivery across all our global engineering and AI teams. You will be in the central seat across all our deliveries including data, ML, LLM, agentic AI, and applications. Responsibilities Own GCP infrastructure – Operate and evolve production and non-production environments; manage cost visibility, quotas, and alerts; maintain clean ...

digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector … organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients ...

engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical … regulated financial services What we're looking for A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what ...

components that enable the safe and reliable operation of autonomous robotic systems within the wider robotics platform. Working closely with embedded systems, AI/ML, and systems architecture teams, you will help design, develop, and validate robotics software that meets high performance and safety standards. We are looking for someone … Responsibilities: Design, develop, and implement robotic software components and algorithms across perception, planning, control, and decision-making systems Collaborate with embedded engineers, AI/ML specialists, and system architects to integrate software into the wider robotics platform Conduct testing, optimisation, and validation to ensure software meets safety and performance requirements ...

integrated technical blueprints covering AI, analytics, applications, integration, and security. Define and communicate the digital and data architecture vision - including use of generative AI, ML platforms, and automation accelerators. Balance innovation with cost efficiency, delivery feasibility, and risk. User-Centric Problem Solving - Solutions must be designed with end-user productivity … experience: Digital Architecture 10+ years designing large-scale digital transformation solutions - including AI, data platforms, and cloud architectures. AI & Data Expertise in AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), data governance, analytics, and responsible AI practices. Cloud & Integration Strong understanding of hybrid and multi-cloud architectures ...

execution across complex migrations, AI enablement, and digital modernisation. Architect and deliver agentic AI systems (LangGraph, LangChain, tool-calling, memory), RAG pipelines, and enterprise ML workloads. Skilled in Azure and AWS AI stacks, Fast API microservices, Kubernetes, and secure vector search patterns. Strong background in FinOps, secure landing zones … contributor to AI leadership content, events and thought leadership, simplifying frontier AI for executive audiences. Core Capabilities Enterprise AI & Architecture Agentic AI, RAG, enterprise ML in regulated FS Azure AI Studio, Azure AI Search, Fabric, Document Intelligence AWS Bedrock & SageMaker pattern experience FastAPI, Kubernetes, Docker, CI/CD (ADO/ ...

permanent position after the 6 months so please only apply if this is suitable for you. I am recruiting for a Data Scientist/ML engineer with several years of experience. You will have experience of driving new data insights to uncover business opportunities & revenue streams, have a firm understanding … have a number of years of experience participating in projects that focused on some of the following - Predictive Analytics, Data Design, Statistics, AI/ML or ML Ops. You must have experience of using Python and/or R to analyse disparate data sets. Experience of Gen AI/ ...

advanced AI systems that deliver real business impact. Responsibilities as a Principal AI Engineer: Lead end‐to‐end delivery of scalable, resilient AI/ML pipelines aligned to business goals. Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks. Mentor engineers in ML ...

PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. ...

experience across all Identity and Access Management core disciples including identity management, identity governance and administration, privileged access, and conditional access and in particular, machine identities. It also requires deep technical skills in the DevSecOps. This role will support the transformation of IAM into a modern, automated, predictable … SDLC from the ground up, ensuring AI models and systems are secure by default. Define and enforce secure coding practices for AI/ML components and APIs. Identify and assess threats specific to AI systems, such as model inversion, data poisoning, adversarial attacks, and model theft. Implement model encryption ...

echo control Ability to operate effectively in a fast-paced startup environment Strong communication skills and ability to collaborate across hardware, embedded and ML or cloud engineers Willingness to work onsite in Central London, 4 days per week Experience in the following would be beneficial: Audio codecs and streaming pipelines … Experience using oscilloscopes or logic analysers Audio measurement techniques and designing repeatable evaluation methodologies Always-on or low-power audio detection systems Familiarity with ML frameworks such as PyTorch or TensorFlow Experience with GStreamer, WebRTC audio processing, SpeexDSP, RNNoise or similar Responsibilities for Audio Systems Engineer: Design, implement and tune ...

What We’re Looking For Strong experience as an AI/ML Engineer or Applied ML Engineer Deep hands-on knowledge of Google Cloud Platform (Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub) Proven track record building LLM, GenAI, or traditional ML solutions end-to-end Comfortable in startup … scale-up environments — fast-moving, iterative, delivery-focused Strong Python engineering experience Experience with MLOps, CI/CD, IaC, and productionising ML models Ability to work collaboratively with product, data, and engineering teams Contract Details Location: Hybrid London (2–3 days onsite) Start Date: ASAP Length: 6 months rolling ...